Senior Data Engineer

Job not on LinkedIn

🕒 July 22

🇧🇷 Brazil – Remote

💵 $2.5k / month

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 42%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Fertil Comunicacao e Marketing Ltda.

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2008

📣 Marketing

📱 Media

🤝 B2B

Marketing • Media • B2B

Fertil Comunicacao e Marketing Ltda. is a Brazilian communication and marketing agency that appears to provide digital marketing, communications, and web presence services. The example text suggests they manage hosted websites and implement security/anti-abuse checks (CAPTCHA-style verification) for site access, indicating they may also handle website administration or hosting-related configurations for clients. Their core focus is on marketing and communications delivered to business clients.

📋 Description

• Design, build, and evolve the company’s data platform architecture • Develop and maintain ETL/ELT pipelines, including API extraction, transformations, incremental loading, and CDC • Model data for Data Warehouses, Data Lakes, and Data Marts using dimensional modeling • Implement batch and streaming processing, event-driven architecture, and asynchronous processing • Ensure database performance and reliability • Establish practices for Data Quality, Data Lineage, Data Catalog, and Data Governance • Orchestrate pipelines and manage historical data with versioning and traceability • Implement pipeline observability, including logs, metrics, monitoring, and alerts • Make reliable, real-time data available for dashboards, operational analytics, and business intelligence • Prepare the data foundation for future Machine Learning initiatives • Automate processes and deployments with GitHub Actions and Docker • Work with product, engineering, and business teams to define requirements and KPIs

🎯 Requirements

• Experience as a Senior Data Engineer • Advanced Python and SQL • PostgreSQL and MySQL • Relational modeling, indexes, partitioning, query optimization, replication, and performance tuning • Data Warehouses, Data Lakes, Star Schema, Snowflake Schema, Data Marts, dimensional modeling, normalization, and denormalization • Building ETL/ELT pipelines, API extraction, data transformation, incremental loading, and CDC • Batch processing, streaming, asynchronous processing, and Event-Driven Architecture • AWS: S3, Lambda, SQS, RDS, CloudWatch, and IAM • Amazon SQS • Git and GitHub • Logs, metrics, pipeline monitoring, and alerts • GitHub Actions • Docker • Data Quality, Data Lineage, Data Catalog, Data Governance, data versioning, pipeline orchestration, and historical data management • English proficiency

🏖️ Benefits

• Flexible working hours • Career development plan • 100% remote work